World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
7280
World Ranking
6178
National Ranking
391

Qiuhua Liang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Qiuhua Liang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 172 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Qiuhua Liang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Qiuhua Liang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Qiuhua Liang is affiliated with Loughborough University in the United Kingdom. Their research work spans multiple areas within environmental science and earth and planetary sciences, with a primary focus on hydrology and related disciplines.

The main fields of study covered by Qiuhua Liang include:

  • Environmental Science
  • Earth and Planetary Sciences

Within these fields, the scientist's research extends into several subfields, such as:

  • Global and Planetary Change
  • Atmospheric Science
  • Water Science and Technology
  • Environmental Engineering
  • Management, Monitoring, Policy and Law

Qiuhua Liang's body of work also concentrates on specific research topics, notably:

  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Tropical and Extratropical Cyclones Research
  • Landslides and Related Hazards
  • Hydrology and Drought Analysis
  • Hydrology and Sediment Transport Processes
  • Urban Stormwater Management Solutions

The following recent publications illustrate the focus and scope of their research contributions:

  • A deep convolutional neural network model for rapid prediction of fluvial flood inundation, 2020, Journal of Hydrology
  • Real-Time Flood Forecasting Based on a High-Performance 2-D Hydrodynamic Model and Numerical Weather Predictions, 2020, Water Resources Research
  • Comprehensive evaluation of hydrological drought and its relationships with meteorological drought in the Yellow River basin, China, 2020, Journal of Hydrology
  • Utilizing GRACE-based groundwater drought index for drought characterization and teleconnection factors analysis in the North China Plain, 2020, Journal of Hydrology
  • Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects, 2020, Journal of Hydrology

Qiuhua Liang collaborates frequently with several researchers, including:

  • Xilin Xia
  • Huili Chen
  • Gang Wang
  • Haibo Yang
  • Lee Bosher

Their research outputs are primarily published in the following venues:

  • Journal of Hydrology
  • SSRN Electronic Journal
  • Water Resources Research
  • Advances in Water Resources
  • Computers and Geotechnics

Best Publications

  • Numerical resolution of well-balanced shallow water equations with complex source terms

    Qiuhua Liang;Fabien Marche

  • Adaptive quadtree simulation of shallow flows with wet-dry fronts over complex topography

    Qiuhua Liang;Alistair G.L. Borthwick

  • A deep convolutional neural network model for rapid prediction of fluvial flood inundation

    Syed Kabir;Syed Kabir;Sandhya Patidar;Xilin Xia;Qiuhua Liang

  • Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework

    Luke Smith;Qiuhua Liang;Philip James;Wen Lin

  • Real-Time Flood Forecasting Based on a High-Performance 2-D Hydrodynamic Model and Numerical Weather Predictions

    Xiaodong Ming;Xiaodong Ming;Qiuhua Liang;Xilin Xia;Dingmin Li

  • Flood Simulation Using a Well-Balanced Shallow Flow Model

    Qiuhua Liang

  • An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations

    Xilin Xia;Qiuhua Liang;Xiaodong Ming;Jingming Hou

  • A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS)

    Xilin Xia;Qiuhua Liang;Xiaodong Ming

  • A 2D well-balanced shallow flow model for unstructured grids with novel slope source term treatment

    Jingming Hou;Qiuhua Liang;Franz Simons;Reinhard Hinkelmann

  • Simulation of dam- and dyke-break hydrodynamics on dynamically adaptive quadtree grids

    Q. Liang;A. G. L. Borthwick;G. Stelling

  • Towards a generalised GPU/CPU shallow-flow modelling tool

    Luke S. Smith;Qiuhua Liang

  • An efficient unstructured MUSCL scheme for solving the 2D shallow water equations

    Jingming Hou;Qiuhua Liang;Hongbin Zhang;Reinhard Hinkelmann

  • Utilizing GRACE-based groundwater drought index for drought characterization and teleconnection factors analysis in the North China Plain

    Fei Wang;Zongmin Wang;Haibo Yang;Danyang Di

  • Comprehensive evaluation of hydrological drought and its relationships with meteorological drought in the Yellow River basin, China

    Fei Wang;Zongmin Wang;Haibo Yang;Danyang Di

  • Large-scale hydrodynamic modeling of the middle Yangtze River Basin with complex river–lake interactions

    Xijun Lai;Jiahu Jiang;Qiuhua Liang;Qun Huang

  • Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects

    Mohammad Zounemat-Kermani;Elena Matta;Andrea Cominola;Xilin Xia

  • Impoundment Effects of the Three-Gorges-Dam on Flow Regimes in Two China’s Largest Freshwater Lakes

    Xijun Lai;Qiuhua Liang;Jiahu Jiang;Qun Huang

  • A 2D shallow flow model for practical dam-break simulations

    Yueling Wang;Qiuhua Liang;Georges Kesserwani;Jim W. Hall

  • Flood Inundation Modeling with an Adaptive Quadtree Grid Shallow Water Equation Solver

    Qiuhua Liang;Guozhi Du;Jim W. Hall;Alistair G. L. Borthwick

  • Urban flood susceptibility analysis using a GIS-based multi-criteria analysis framework

    Lin Lin;Zening Wu;Qiuhua Liang

  • A stable 2D unstructured shallow flow model for simulations of wetting and drying over rough terrains

    Jingming Hou;Jingming Hou;Qiuhua Liang;Franz Simons;Reinhard Hinkelmann

Frequent Co-Authors

Alistair G.L. Borthwick
Alistair G.L. Borthwick University of Edinburgh
Jim W. Hall
Jim W. Hall University of Oxford
Yong Liu
Yong Liu Peking University
R. Eatock Taylor
R. Eatock Taylor University of Oxford
Richard Dawson
Richard Dawson Newcastle University
Shuguang Xie
Shuguang Xie Peking University
Hayley J. Fowler
Hayley J. Fowler Newcastle University
Daniel T. Cox
Daniel T. Cox Oregon State University
Gareth Pender
Gareth Pender Heriot-Watt University
Jeffrey C. Neal
Jeffrey C. Neal University of Bristol

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